Many organizations continue to struggle with preparing data for use in operational and analytical processes. We see these issues reported in our Data and Analytics in the Cloud benchmark research, where 55 percent of organizations identify data preparation as the most time-consuming task in their analytical processes. Similarly, in our Next-Generation Predictive Analytics research, 62 percent of companies report that they’re unsatisfied because data needed for access or integration is not readily available. In our Big Data Integration research, 52 percent report spending that in working with big data integration processes, they spend the most time reviewing data for quality and consistency. And nearly half of companies (48%) report this same issue in our Internet of Things research. We are currently conducting further research into this critical issue with our Data Preparation benchmark research.
Topics: Analytics, Collaboration, Data Preparation, Datawatch
Cryptic Data: Challenges and Rewards in Finding and Using It
Using information technology to make data useful is as old as the Information Age. The difference today is that the volume and variety of available data has grown enormously. Big data gets almost all of the attention, but there’s also cryptic data. Both are difficult to harness using basic tools and require new technology to help organizations glean actionable information from the large and chaotic mass of data. “Big data” refers to extremely large data sets that may be analyzed computationally to reveal patterns, trends and associations, especially those related to human behavior and interaction. The challenges in dealing with big data include having the computational power that can scale to the processing requirements for the volumes involved; analytical tools to work with the large data sets; and governance necessary to manage the large data sets to ensure that the results of the analysis are accurate and meaningful. But that’s not all organizations have to deal with now. I’ve coined the term “cryptic data” to focus on a different, less well known sort of data challenge that many companies and individuals face.
Topics: Big Data, Data Science, Planning, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, FP&A, Human Capital, Marketing, Office of Finance, Operational Performance Management (OPM), Budgeting, Connotate, cryptic, equity research, Finance Analytics, Kofax, Statistics, Operational Performance, Analytics, Business Analytics, Business Performance, Financial Performance, Business Performance Management (BPM), Datawatch, Financial Performance Management (FPM), Kapow, Sales Performance Management (SPM)
Datawatch Bolsters Data Preparation for all Information Assets
The need for businesses to process and analyze data has grown in intensity along with the volumes of data they are amassing. Our benchmark research consistently shows that preparing data is the most widespread impediment to analytic and operational efficiency. In our recent research on data and analytics in the cloud, more than half (55%) of organizations said that preparing data for analysis is a major impediment, followed by other preparatory tasks: reviewing data for quality and consistency (48%) and waiting for data and information (28%). Organizations that want to apply analytics to make more effective decisions and take prompt actions need to find ways to shorten the work that comes before it. Conventional analytics and business intelligence tools are not designed for data preparation, but new software tools can enable business users independently or in concert with IT to perform the tasks needed.
Topics: Big Data, Sales Performance, Supply Chain Performance, Human Capital, Marketing, Monarch, Operational Performance Management (OPM), Customer Performance, Business Analytics, Business Intelligence, Business Performance, Data Preparation, Financial Performance, Governance, Risk & Compliance (GRC), Information Management, Uncategorized, Business Performance Management (BPM), Datawatch, Information Optimization, Risk & Compliance (GRC)
Big Data Research Agenda and Trends are Bolder in 2015
Big data has become a big deal as the technology industry has invested tens of billions of dollars to create the next generation of databases and data processing. After the accompanying flood of new categories and marketing terminology from vendors, most in the IT community are now beginning to understand the potential of big data. Ventana Research thoroughly covered the evolving state of the big data and information optimization sector in 2014 and will continue this research in 2015 and beyond. As it progresses the importance of making big data systems interoperate with existing enterprise and information architecture along with digital transformation strategies becomes critical. Done properly companies can take advantage of big data innovations to optimize their established business processes and execute new business strategies. But just deploying big data and applying analytics to understand it is just the beginning. Innovative organizations must go beyond the usual exploratory and root-cause analyses through applied analytic discovery and other techniques. This of course requires them to develop competencies in information management for big data.
Topics: Big Data, MapR, Predictive Analytics, Sales Performance, SAP, Supply Chain Performance, Human Capital, Marketing, Mulesoft, Paxata, SnapLogic, Splunk, Customer Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Cloudera, Financial Performance, Hortonworks, IBM, Informatica, Information Management, Operational Intelligence, Oracle, Datawatch, Dell Boomi, Information Optimization, Savi, Sumo Logic, Tamr, Trifacta, Strata+Hadoop
Big Data Analytics Research Reveals Benefits of Investment
We recently released our benchmark research on big data analytics, and it sheds light on many of the most important discussions occurring in business technology today. The study’s structure was based on the big data analytics framework that I laid out last year as well as the framework that my colleague Mark Smith put forth on the four types of discovery technology available. These frameworks view big data and analytics as part of a major change that includes a movement from designed data to organic data, the bringing together of analytics and data in a single system, and a corresponding move away from the technology-oriented three Vs of big data to the business-oriented three Ws of data. Our big data analytics research confirms these trends but also reveals some important subtleties and new findings with respect to this important emerging market. I want to share three of the most interesting and even surprising results and their implications for the big data analytics market.
Topics: Big Data, Pentaho, Predictive Analytics, Sales Performance, Supply Chain Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Datawatch
The Business Technology Challenge of 2014: Information Optimization
Our recently released benchmark research on information optimization shows that 97 percent of organizations find it important or very important to make information available to the business and customers, yet only 25 percent are satisfied with the technology they use to provide that access. This wide gap between importance and satisfaction reflects the complexity of preparing and presenting information in a world where users need to access many forms of data that exist across distributed systems.
Topics: Big Data, IT Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Data Preparation, Information Applications, Information Management, Data Discovery, Datawatch, Information Optimization
Ventana Research Technology Innovation Awards Are More Than Cool
In the realm of technology that matters for business and IT, our firm as part of our responsibility continually assesses the latest technology and how it can impact organizations’ efficiency and effectiveness. Our benchmark research in technology innovation found that 87% of participants indicated the importance of increasing the organization’s value through technology innovation. Every year we take our knowledge from research and technology briefings to focus on our Technology Innovation Awards and determine the vendors and products that have the potential to drive change in the market, the competitiveness of an organization’s business and sometimes just how efficiently a company operates. Our firm believes that Innovation can come from any size technology vendor from the smallest to the largest that are measured on a spectrum of attributes that contribute to the specific impact of the technology.
Topics: Big Data, Datameer, Mobile, Sales, Sales Performance, Social Media, Supply Chain Performance, Sustainability, Customer, ESRI, Globoforce, GRC, HCM, Kronos, Kyriba, Location Analytics, Marketing, NetBase, Office of Finance, Overall Operational Leadership, Peoplefluent, Planview, SQLstream, VMWare, VPI, IT Analytics & Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, CIO, Cloud Computing, Collaboration, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Hortonworks, IBM, Informatica, Information Applications, Information Builders, Information Management, Information Technology, KXEN, Location Intelligence, Operational Intelligence, Oracle, Workforce Performance, Contact Center, Datawatch, Financial Management, Information Optimization, Johnson Controls Panoptix, Roambi, Service & Supply Chain, Upstream Works, Vertex, Xactly
Datawatch Acquires Panopticon for Big Data Discovery and Visualization across Business Processes
Business analytics can help organizations use data to find insights that lead to new opportunities and address issues unrecognized before. One player in this market is Datawatch, known for its tools for information optimization and harvesting value from big data including content and documents. I assessed the company earlier this year, and recently our firm recognized its customers’ achievements with 2013 Ventana Research Leadership Awards for Information Optimization with Phelps County Regional Medical Center and Governance, Risk and Compliance (GRC) with The Fauquier Bank.
Topics: Big Data, Sales Performance, SAP, Supply Chain Performance, GRC, Office of Finance, Panopticon, Operational Performance, Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Operational Intelligence, CEP, Datawatch, Discovery, Information Optimization, SAP HANA
Datawatch Enables a New Generation of Information Optimization
When organizations need to optimize their business processes and improve operations and decisions, the often speak of having the right information at the right time, but don’t always make that a priority. This information optimization is often thought to be expensive and time-consuming, especially with advent of big data and disparate data sources across cloud and on-premises environments, as I have articulated. Datawatch can help business get to information of any variety or volume at any time through its access and integration tools. When I published my last analysis of Datawatch, it had made significant advancements in its platform, with enterprise-class reliability and support for business analytics through its data discovery and virtualization processes. Over the last year Datawatch continued to grow its business worldwide, and through investments into its marketing, sales and product efforts is finding more potential from existing and new customers. The company’s energized product efforts earned it our 2012 Technology Innovation Award for Information Applications for its Information Optimization Suite.
Topics: Big Data, MapR, QlikView, Cloud Computing, Information Management, Uncategorized, Datawatch, Information Optimization
I’m happy to say that Ventana Research celebrated its tenth anniversary at our recent Business Technology Innovation Summit in San Jose at the Tech Museum. This location was fitting, since at the event we introduced and presented our first-ever Technology Innovation Awards and seventh annual Leadership Awards. If you did not get a chance to attend, we have the live webstream available for replay at no cost; thanks to Splunk for sponsoring this to let everyone enjoy the sessions.
Topics: Sales Performance, SAP, Social Media, Supply Chain Performance, Peoplefluent, Planview, Research, Splunk, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, IBM, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Ceridian, CFO, CMO, COO, Datawatch, Saba, Technology
Datawatch Enables Business Analytics through Data Discovery and Virtualization
Thanks to Datawatch, businesses may find themselves buying and deploying fewer new business analytics and business intelligence tools. As I noted in my analysis last year, the company’s new management has begun to transition it to a more appealing market position in which it helps enterprises use analytics to improve operational efficiency and decision-making. The Datawatch products focus on data virtualization – that is, accessing data from multiple sources not usually seen as accessible for analysis, such as reports and documents in Adobe Acrobat format, production systems, streams coming from cloud computing or print output, or even legacy systems. The value of this lies in reducing the time it takes to access such data and integrate it with other data to create enriched information and analytics.
Topics: Supply Chain Performance, IT Performance, Business Analytics, Business Intelligence, Business Performance, Business Technology, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Information Technology, Datawatch
Datawatch Offers Shorter Path from Data to Information
Turning data into information for taking actions and making decisions has bedeviled businesses throughout the computer age. Many organizations have data in dozens of applications and legacy systems along with many reports in various business intelligence systems. The challenge is to get data from each of the reports and assemble it into contextualized views of information for particular business needs. In our benchmark research on what we call information applications, only 11 percent of organizations said they are satisfied with their existing efforts to do this; more than half of organizations see the current process as too slow and not adaptable to the changes that necessarily occur in assembling actionable information.
Topics: Sales Performance, Sustainability, Reporting, Business Technology Innovation, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Workforce Performance, Datawatch, Document Management
Datawatch Offers Shorter Path from Data to Information
Turning data into information for taking actions and making decisions has bedeviled businesses throughout the computer age. Many organizations have data in dozens of applications and legacy systems along with many reports in various business intelligence systems. The challenge is to get data from each of the reports and assemble it into contextualized views of information for particular business needs. In our benchmark research on what we call information applications, only 11 percent of organizations said they are satisfied with their existing efforts to do this; more than half of organizations see the current process as too slow and not adaptable to the changes that necessarily occur in assembling actionable information.
Topics: Sales Performance, Supply Chain Performance, Reporting, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Applications, Workforce Performance, Datawatch, Document Management
Datawatch Offers Shorter Path from Data to Information
Turning data into information for taking actions and making decisions has bedeviled businesses throughout the computer age. Many organizations have data in dozens of applications and legacy systems along with many reports in various business intelligence systems. The challenge is to get data from each of the reports and assemble it into contextualized views of information for particular business needs. In our benchmark research on what we call information applications, only 11 percent of organizations said they are satisfied with their existing efforts to do this; more than half of organizations see the current process as too slow and not adaptable to the changes that necessarily occur in assembling actionable information.
Topics: Sales Performance, Supply Chain Performance, Reporting, IT Performance, IT Research, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Workforce Performance, Datawatch, Document Management
